Abstract: Techniques described herein relate to automatically generating standard network device configurations. In one example, one or more groups of network device configuration blocks may be obtained. An analysis of the one or more groups of network device configuration blocks may be performed, including identifying respective frequencies associated with respective network device configuration blocks of the one or more groups of network device configuration blocks. Based on the respective frequencies, one or more network device configuration blocks of the one or more groups of network device configuration blocks may be automatically aggregated into a standard network device configuration.

Abstract: An example apparatus includes: programmable circuitry configured to execute machine-readable instructions to: receive first voltages representative of an input signal; receive second voltages and currents, the second voltages and currents representative of voltages and currents of filter circuitry responsive to the first voltages; and determine a transfer function based on the first voltages and the second voltages and currents, the transfer function having coefficients representing the filter circuitry.

Abstract: Described herein are devices, systems, methods, and processes for managing power consumption in network nodes by dynamically disabling and reenabling features based on real-time power consumption monitoring and historical data analysis. A machine learning model is trained using historical sensor data and historical feature data to predict power consumption and derive feature-to-power association data. The power budget is determined based on sustainability goals. Real-time power consumption is monitored, and features are disabled or reenabled based on their priorities and power consumption levels to maintain the power budget. The machine learning model is validated and updated using new historical data to improve its prediction accuracy and adaptability. The feature-to-power association data is distributed to network nodes and management systems for power management purposes.

Abstract: An example apparatus includes: programmable circuitry configured to execute machine-readable instructions to: receive first voltages representative of an input signal; receive second voltages and currents, the second voltages and currents representative of voltages and currents of filter circuitry responsive to the first voltages; and determine a transfer function based on the first voltages and the second voltages and currents, the transfer function having coefficients representing the filter circuitry.

Abstract: A method of durably assembling a rubber part and a thermoplastic elastomer part into a composite structure is proposed. The method may comprise providing a first part comprising curable rubber and a second part made of thermoplastic elastomer (TPE) material, mediating an adhesive affinity on the at least one of the first and second parts for the other one of the at least two parts, bringing the first and second parts into contact with each other so as to form a composite structure and heat-treating the composite structure to durably bond the first part to the second part. The adhesive affinity may be mediated through adhesive, such as e.g., RFL or neoalkoxy zirconate/titanate adhesive) applied on the at least one of the first and second parts or though additives, e.g., neoalkoxy zirconate/titanate, in the rubber part.

Abstract: In example embodiments, an enhanced deep belief learning model with an extended Kalman filter (EKF) is used for training and updating a deep belief network (DBN) with new data to produce a DBN model useful in making predictions on a variety of types of datasets, including data captured from infrastructure-attached sensors describing the condition of the infrastructure. The EKF is employed to estimate operation parameters of the DBN and generate the model's output covariance. Further, in example embodiments, the configuration of the DBN model may be optimized by a competent genetic algorithm.

Abstract: In various example embodiments, techniques are provided for training and/or using a semantic deep learning model, such as a segmentation-enabled CNN model, to detect corrosion and enable its quantitative evaluation. An application may include a training dataset generation tool capable of semi-automatic generation of a training dataset that includes images with labeled corrosion segments. The application may use the labeled training dataset to train a semantic deep learning model to detect and segment corrosion in images of an input dataset at the pixel-level. The application may apply an input dataset to the trained semantic deep learning model to produce a semantically segmented output dataset that includes labeled corrosion segments. The application may include an evaluation tool that quantitatively evaluates corrosion in the semantically segmented output dataset, to allow severity of the corrosion to be classified.

Abstract: A nonpneumatic tire and wheel assembly which includes a wheel, and a spoke ring structure having an inner ring that is mounted on an outer surface of the wheel. The spoke ring structure has a plurality of spoke members, and an outer tread ring is mounted on the outer circumference of the spoke ring.

Abstract: A shear band for a tire includes a first belt layer extending circumferentially around the tire, a second belt layer extending circumferentially around the tire, and a shear band radially interposed between the first belt layer and the second belt layer. The shear band includes a first reinforcing ply radially adjacent the first belt layer, a third reinforcing ply radially adjacent the second belt layer, and a second reinforcing ply radially interposed between the first reinforcing ply and the second reinforcing ply. The first reinforcing ply includes a first flattened, braided tube layer enclosed by a first rubber layer. The second reinforcing ply includes a second flattened, braided tube layer enclosed by a second rubber layer. The third reinforcing ply includes a third flattened, braided tube layer enclosed by a third rubber layer.

Abstract: A non-pneumatic tire and wheel assembly which includes a rim, and a spoke ring structure having an inner ring that is mounted on an outer surface of the rim. The inner ring has one or more retention nubs aligned for reception in complementary shaped grooves on the outer surface of the rim, wherein the spoke ring structure has a plurality of spoke members, and an outer tread ring is mounted on the outer circumference of the spoke ring.

Abstract: A shear band for a tire includes a first belt layer extending circumferentially around the tire, a second belt layer extending circumferentially around the tire, and a shear band radially interposed between the first belt layer and the second belt layer. The shear band includes a first reinforcing ply radially adjacent the first belt layer, a third reinforcing ply radially adjacent the second belt layer, and a second reinforcing ply radially interposed between the first reinforcing ply and the second reinforcing ply. The first reinforcing ply includes a first flattened, braided tube layer enclosed by a first rubber layer. The second reinforcing ply includes a second flattened, braided tube layer enclosed by a second rubber layer. The third reinforcing ply includes a third flattened, braided tube layer enclosed by a third rubber layer.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to allow dynamic changing between current limiting methods. A power delivery controller comprising: a power control device; a first current control device, the first current control device to control the power control device when a current level associated with a current flowing between a first device and a second device exceeds a first adjustable current threshold value; a second current control device to control the power control device when the current level exceeds a second adjustable current threshold value; and a configuration manager to, during runtime, set a first configuration setting of the first current control device and a second configuration setting of the second current control device, the first configuration setting and second configuration setting based on a negotiated contract corresponding to the first device and the second device.

Abstract: Techniques described herein relate to automatically generating standard network device configurations. In one example, one or more groups of network device configuration blocks may be obtained. An analysis of the one or more groups of network device configuration blocks may be performed, including identifying respective frequencies associated with respective network device configuration blocks of the one or more groups of network device configuration blocks. Based on the respective frequencies, one or more network device configuration blocks of the one or more groups of network device configuration blocks may be automatically aggregated into a standard network device configuration.

Abstract: In one example, a logical representation of a first graph is generated. The first graph indicates a configuration of a network device in a network at a first time. The first graph includes a first node representative of a first configuration block of the network device, a second node representative of a second configuration block of the network device, and a first link that indicates, by connecting the first node and the second node, that the first configuration block is associated with the second configuration block. The logical representation of the first graph is compared to a logical representation of a second graph that indicates an actual or planned configuration of the network device at a second time subsequent to the first time. In response, one or more changes in the configuration of the network device from the first time to the second time are identified.

Abstract: Techniques described herein relate to automatically generating standard network device configurations. In one example, one or more groups of network device configuration blocks may be obtained. An analysis of the one or more groups of network device configuration blocks may be performed, including identifying respective frequencies associated with respective network device configuration blocks of the one or more groups of network device configuration blocks. Based on the respective frequencies, one or more network device configuration blocks of the one or more groups of network device configuration blocks may be automatically aggregated into a standard network device configuration.

Abstract: In one example, a logical representation of a first graph is generated. The first graph indicates a configuration of a network device in a network at a first time. The first graph includes a first node representative of a first configuration block of the network device, a second node representative of a second configuration block of the network device, and a first link that indicates, by connecting the first node and the second node, that the first configuration block is associated with the second configuration block. The logical representation of the first graph is compared to a logical representation of a second graph that indicates an actual or planned configuration of the network device at a second time subsequent to the first time. In response, one or more changes in the configuration of the network device from the first time to the second time are identified.

Abstract: Techniques described herein relate to automatically generating standard network device configurations. In one example, one or more groups of network device configuration blocks may be obtained. An analysis of the one or more groups of network device configuration blocks may be performed, including identifying respective frequencies associated with respective network device configuration blocks of the one or more groups of network device configuration blocks. Based on the respective frequencies, one or more network device configuration blocks of the one or more groups of network device configuration blocks may be automatically aggregated into a standard network device configuration.

Abstract: A shear band for a tire includes a first belt layer extending circumferentially around the tire, a second belt layer extending circumferentially around the tire, and a shear band coupon radially interposed between the first belt layer and the second belt layer. The shear band coupon includes a first reinforcing ply radially adjacent the first belt layer, a third reinforcing ply radially adjacent the second belt layer, and a second reinforcing ply radially interposed between the first reinforcing ply and the second reinforcing ply. The first reinforcing ply includes a first three dimensional layer enclosed by a first fabric layer. The second reinforcing ply includes a second three dimensional layer enclosed by a second fabric layer. The third reinforcing ply includes a third three dimensional layer enclosed by a third fabric layer.

Abstract: A shear band for a tire includes a first belt layer extending circumferentially around the tire, a second belt layer extending circumferentially around the tire, and a shear band radially interposed between the first belt layer and the second belt layer. The shear band includes a first reinforcing ply radially adjacent the first belt layer, a third reinforcing ply radially adjacent the second belt layer, and a second reinforcing ply radially interposed between the first reinforcing ply and the second reinforcing ply. The first reinforcing ply includes a first flattened, braided tube layer enclosed by a first rubber layer. The second reinforcing ply includes a second flattened, braided tube layer enclosed by a second rubber layer. The third reinforcing ply includes a third flattened, braided tube layer enclosed by a third rubber layer.

Abstract: A method of making a non-pneumatic tire, the non-pneumatic tire comprising a ground contacting annular tread portion comprising a tread rubber composition, a shear band comprising a cord reinforced rubber composition and disposed radially inward of the tread portion, and at least one spoke disk disposed radially inward of the shear band; wherein the spoke disk has an outer ring, and an inner ring, and a first and second spoke extending radially between the outer ring and the inner ring, wherein the first and second spokes are connected at a joint; the method comprising the steps of: applying a curable adhesive as an interface between a radially outermost surface of the spoke disk and a radially innermost surface of the shear band in its uncured state; assembling the tread portion in an uncured state, the shear band in an uncured state, and the at least one spoke disk to form an pre-assembly; and curing the pre-assembly.